Summary
Bharat Khandelwal is an AI-focused research engineer with 10 years of experience building production-grade machine learning systems that span NLP, time-series forecasting, and low-latency trading infrastructure. Currently at Resolve AI, he develops agentic systems to orchestrate incident response, after leading transformer-based macro research and production PyTorch pipelines as VP at WorldQuant. His background includes scaling BERT-powered enterprise NLP at Moveworks (cutting config maintenance by 70%) and designing millisecond-latency ML stacks for Tower Research Capital, giving him rare fluency across research, product, and high-performance engineering. A Stanford MS (AI specialization) and IIT Bombay gold medalist, Bharat combines rigorous academic training with a track record of shipping impactful models in noisy, high-stakes environments. He’s particularly focused on agentic AI that reasons and acts to improve team decision-making, and enjoys translating cutting-edge research into reliable operational systems.
10 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Bombay
Delhi Public School - Bopal, Ahmedabad
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English, Hindi